Search Results for "python samples"
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Showing 14 open source projects for "python samples"
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Cloud-based help desk software with ServoDeskWhat if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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Schemathesis
Guarantee flawless API functionality with test scenarios
Guarantee flawless API functionality with thorough, high-quality test scenarios generated from your API specification. Schemathesis is a specification-centric API testing tool for Open API and GraphQL-based applications. It reads the application schema and generates test cases, which will ensure that your application is compliant with its schema and never crashes. The application under test could be written in any language; the only thing you need is a valid API schema in a supported format.... -
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Lightly
A python library for self-supervised learning on images
...This allows selecting the best core set of samples for model training through advanced filtering. We provide PyTorch, PyTorch Lightning and PyTorch Lightning distributed examples for each of the models to kickstart your project. Lightly requires Python 3.6+ but we recommend using Python 3.7+. We recommend installing Lightly in a Linux or OSX environment. With lightly, you can use the latest self-supervised learning methods in a modular way using the full power of PyTorch. ... -
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YData Synthetic
Synthetic data generators for tabular and time-series data
A package to generate synthetic tabular and time-series data leveraging state-of-the-art generative models. Synthetic data is artificially generated data that is not collected from real-world events. It replicates the statistical components of real data without containing any identifiable information, ensuring individuals' privacy. This repository contains material related to Generative Adversarial Networks for synthetic data generation, in particular regular tabular data and time-series. It... -
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SENAITE LIMS
SENAITE Meta Package
SENAITE is a beautiful trigonal, oil-green to greenish-black crystal, with almost the hardness of a diamond. Although the crystal is described with a complex formula, it still has clear and straight shapes. Therefore, it reflects nicely the complexity of the LIMS, while providing a modern, intuitive, and friendly UI/ UX. Amongst other functionalities, SENAITE comes with highly-customizable workflows to drive users through the analytical process, easy-to-use UI for data registration,... -
QuickBooks-integrated B2B eCommerce toolsThe platform offers two-way QuickBooks integration, easy setup at no additional charge, 24/7 selling for merchants, and powerful business insight and remote management tools. The platform comes with three modules that can be purchased individually or bundled together. These are Customer Portal, Rep Portal, and Fulfillment modules.
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Mythril
Security analysis tool for EVM bytecode. Supports smart contracts
Mythril is a security analysis tool for EVM bytecode. It detects security vulnerabilities in smart contracts built for Ethereum, Hedera, Quorum, Vechain, Roostock, Tron and other EVM-compatible blockchains. It uses symbolic execution, SMT solving and taint analysis to detect a variety of security vulnerabilities. It's also used (in combination with other tools and techniques) in the MythX security analysis platform. If you are a smart contract developer, we recommend using MythX tools which... -
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Yapsy
A fat-free DIY Python plugin management toolkit.
...It is designed to offer a set of very lean classes (plugin managers and plugin interfaces) which can easily be customised by decoration or inheritance. Yapsy v1.x supports Python2 and Python3. Its source package contains versions of the sources for both pythons. Yapsy v2+ supports Python 3 and it's development happens now on https://github.com/tibonihoo/yapsy/ Usage samples, advices and developer's documentations are available on the main website. -
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SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple... -
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Examples.Python
Shows how to use tkinter only by programming code (Python).
Examples Python shows how to use tkinter only by programming code (Python). * Github repository : https://github.com/gammasoft71/Examples.Python * Homepage : https://gammasoft71.wixsite.com/gammasoft/python -
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Mixup-CIFAR10
mixup: Beyond Empirical Risk Minimization
mixup-cifar10 is the official PyTorch implementation of “mixup: Beyond Empirical Risk Minimization” (Zhang et al., ICLR 2018), a foundational paper introducing mixup, a simple yet powerful data augmentation technique for training deep neural networks. The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more... -
Member Management Software for Labor UnionsWe built the first version of eMembership in 2008 to address a growing problem faced by labor unions – aging computer systems that no longer supported the organization or the industry. Our goal was to build a system that could evolve with the times. We used contemporary software and a modular design that can support the unique requirements of any organization. We host eMembership in our highly-redundant, SSAE-16 compliant data center, so we take care of hardware, software, operating systems, security patches, system monitoring, bandwidth, backups…while you focus on your core business.
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GDeps
Automatic process to update and build your external libraries/projects
Welcome to GDeps! ( http://gdeps.org ) ========== [PRE-ALPHA] GDeps is a C++ dependencies/projects builder. Write in Python3. Launch a project script and GDeps will: 1) Create and Update the repository (svn, git, mercurial) 2) Make the solution (cmake, boost, bakefile) 3) Build the solution (Compilers : Mingw, VC90~140, Clang, Digital Mars, Ides : Visual Studio, Codeblocks ). Install: ========== 1) Install Python3: https://www.python.org/ 2) Install... -
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A Complete Beginner's Guide to Django
A Complete Beginner's Guide to Django - Code Samples
Code samples from the Django tutorial series. I’m starting a new tutorial series about Django fundamentals. It’s a complete beginner’s guide to start learning Django. The material is divided into seven parts. We’re going to explore all the basic concepts in great detail, from installation, and preparation of the development environment, models, views, templates, URLs to more advanced topics such as migrations, testing, and deployment. -
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Distant Speech Recognition
Beamforming and Speech Recognition Toolkit
BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and... -
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Awesome AWS
A curated list of awesome Amazon Web Services libraries
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome. Each repo listed meets at least one of the following requirements, community-authored repo with 100+ stars, community-vouched repo with < 100 stars, official repo from aws or awslabs. 100+ stars for community repos is not a strict requirement, it only serves as a guideline for the initial compilation. If you can vouch for the awesomeness... -
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This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
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